The mortality indicators, adult diabetes rate and life expectancy, were selected because they reflect core health outcomes that reveal significant disparities across Chicago neighborhoods. Diabetes is a chronic illness that can be (in some cases) prevented, and be a very manageable disease with adequate healthcare. While life expectancy provides a broad measure of longevity. Mapping these indicators shows clear spatial patterns of inequity, identifying areas where poor health outcomes are concentrated.
The SDOH indicators—primary care provider rate and food insecurity—capture key social and economic conditions that influence community health. The primary care provider rate reflects access to routine and preventive care, while food insecurity reflects neighborhoods with limited or uncertain access to adequate food. Mapping these measures shows where structural barriers are concentrated across Chicago.
The following analyses include a bivariate correlation and Global Moran’s I plot that examine statistical relationships between the selected health outcome and social determinants of health (SDOH) indicators. Additionally, Local Indicators of Spatial Association (LISA) maps are presented for each variable to visualize areas where statistically significant spatial clustering occurs. Together, these analyses help identify both the strength of associations between indicators and the geographic patterns that may reveal underlying spatial inequities across the study area.
In this section, provide a concise overview of the data and analyses completed for this assignment. Your summary should include:
Indicator Description
Describe the public health outcome and social determinants of health (SDOH) indicators you selected, along with their associated data sources (e.g., the Chicago Health Atlas).Geographic Patterns and Trends
Summarize the geographic distributions and temporal trends observed for each indicator, referencing the maps and charts presented on the Mortality and SDOH pages of your dashboard.Spatial Analysis and Interpretation
Explain the methods used in your spatial analyses and provide a brief interpretation of key findings as presented on the corresponding dashboard page. Highlight any significant spatial relationships or clusters that emerge from your analysis.
Your written summary should be approximately 250 words and clearly connect your data sources, spatial findings, and their broader public health implications.